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ORCIDSimon Korman
Person information
- affiliation: University of Haifa, Israel
- affiliation (former): Weizmann Institute of Science, Israel
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2020 – today
- 2024
[j4]Kensuke Nakamura
, Simon Korman, Byung-Woo Hong:
Generative adversarial networks via a composite annealing of noise and diffusion. Pattern Recognit. 146: 110034 (2024)- [c13]Daniel Shalam, Simon Korman:
Unsupervised Representation Learning by Balanced Self Attention Matching. ECCV (84) 2024: 269-285 - [c12]Daniel Shalam, Simon Korman:
The Balanced-Pairwise-Affinities Feature Transform. ICML 2024 - [i11]Daniel Shalam, Simon Korman:
The Balanced-Pairwise-Affinities Feature Transform. CoRR abs/2407.01467 (2024) - [i10]Daniel Shalam, Simon Korman:
Unsupervised Representation Learning by Balanced Self Attention Matching. CoRR abs/2408.02014 (2024) - 2023
- [c11]Daniel Shalam, Elie Abboud, Roee Litman, Simon Korman:
MFSC: Matching by Few-Shot Classification. BMVC 2023: 677-681 - [c10]Deborah Levy, Amit Peleg, Naama Pearl, Dan Rosenbaum, Derya Akkaynak, Simon Korman, Tali Treibitz:
SeaThru-NeRF: Neural Radiance Fields in Scattering Media. CVPR 2023: 56-65 - [i9]Deborah Levy, Amit Peleg, Naama Pearl, Dan Rosenbaum, Derya Akkaynak, Simon Korman, Tali Treibitz:
SeaThru-NeRF: Neural Radiance Fields in Scattering Media. CoRR abs/2304.07743 (2023) - 2022
- [c9]Naama Pearl, Tali Treibitz, Simon Korman:
NAN: Noise-Aware NeRFs for Burst-Denoising. CVPR 2022: 12662-12671 - [i8]Daniel Shalam, Simon Korman:
The Self-Optimal-Transport Feature Transform. CoRR abs/2204.03065 (2022) - [i7]Naama Pearl, Tali Treibitz, Simon Korman:
NAN: Noise-Aware NeRFs for Burst-Denoising. CoRR abs/2204.04668 (2022) - 2021
- [i6]Kensuke Nakamura, Simon Korman, Byung-Woo Hong:
Stabilization of generative adversarial networks via noisy scale-space. CoRR abs/2105.00220 (2021)
2010 – 2019
- 2018
- [c8]Simon Korman, Mark Milam, Stefano Soatto:
OATM: Occlusion Aware Template Matching by Consensus Set Maximization. CVPR 2018: 2675-2683 - [c7]Simon Korman, Roee Litman:
Latent RANSAC. CVPR 2018: 6693-6702 - [i5]Simon Korman, Roee Litman:
Latent RANSAC. CoRR abs/1802.07045 (2018) - [i4]Simon Korman, Mark Milam, Stefano Soatto:
OATM: Occlusion Aware Template Matching by Consensus Set Maximization. CoRR abs/1804.02638 (2018) - 2017
- [j3]Simon Korman, Daniel Reichman, Gilad Tsur, Shai Avidan:
Fast-Match: Fast Affine Template Matching. Int. J. Comput. Vis. 121(1): 111-125 (2017) - [c6]Omri Ben-Eliezer, Simon Korman, Daniel Reichman:
Deleting and Testing Forbidden Patterns in Multi-Dimensional Arrays. ICALP 2017: 9:1-9:14 - 2016
- [j2]Simon Korman, Shai Avidan:
Coherency Sensitive Hashing. IEEE Trans. Pattern Anal. Mach. Intell. 38(6): 1099-1112 (2016) - [i3]Simon Korman, Daniel Reichman:
Testing Pattern-Freeness. CoRR abs/1607.03961 (2016) - 2015
- [j1]Simon Korman, Roee Litman, Shai Avidan, Alexander M. Bronstein:
Probably Approximately Symmetric: Fast Rigid Symmetry Detection With Global Guarantees. Comput. Graph. Forum 34(1): 2-13 (2015) - [c5]Roee Litman, Simon Korman, Alexander M. Bronstein, Shai Avidan:
Inverting RANSAC: Global model detection via inlier rate estimation. CVPR 2015: 5243-5251 - [c4]Simon Korman, Eyal Ofek, Shai Avidan:
Peeking Template Matching for Depth Extension. ICCV 2015: 2174-2182 - 2014
- [i2]Simon Korman, Roee Litman, Shai Avidan, Alexander M. Bronstein:
Probably Approximately Symmetric: Fast 3D Symmetry Detection with Global Guarantees. CoRR abs/1403.6637 (2014) - 2013
- [c3]Simon Korman, Daniel Reichman, Gilad Tsur, Shai Avidan:
FasT-Match: Fast Affine Template Matching. CVPR 2013: 2331-2338 - [c2]Yaron Eshet, Simon Korman, Eyal Ofek, Shai Avidan:
DCSH - Matching Patches in RGBD Images. ICCV 2013: 89-96 - 2011
- [c1]Simon Korman, Shai Avidan:
Coherency Sensitive Hashing. ICCV 2011: 1607-1614 - [i1]Simon Korman, Daniel Reichman, Gilad Tsur:
Tight Approximation of Image Matching. CoRR abs/1111.1713 (2011)
Coauthor Index
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